Overview

Brought to you by YData

Dataset statistics

Number of variables	53
Number of observations	6014
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	12
Duplicate rows (%)	0.2%
Total size in memory	2.4 MiB
Average record size in memory	424.0 B

Variable types

Numeric	6
Categorical	47

Alerts

Dataset has 12 (0.2%) duplicate rows	Duplicates
`engine` is highly overall correlated with `fuel_Diesel` and 5 other fields	High correlation
`fuel_Diesel` is highly overall correlated with `engine` and 1 other fields	High correlation
`fuel_Petrol` is highly overall correlated with `engine` and 1 other fields	High correlation
`km_driven` is highly overall correlated with `year`	High correlation
`max_power` is highly overall correlated with `engine` and 3 other fields	High correlation
`mileage` is highly overall correlated with `seats_5`	High correlation
`name_Mahindra` is highly overall correlated with `engine` and 1 other fields	High correlation
`owner_Test Drive Car` is highly overall correlated with `selling_price`	High correlation
`seats_4` is highly overall correlated with `max_power`	High correlation
`seats_5` is highly overall correlated with `engine` and 3 other fields	High correlation
`seats_7` is highly overall correlated with `engine` and 1 other fields	High correlation
`selling_price` is highly overall correlated with `max_power` and 2 other fields	High correlation
`transmission_Manual` is highly overall correlated with `max_power`	High correlation
`year` is highly overall correlated with `km_driven` and 1 other fields	High correlation
`name_Audi` is highly imbalanced (95.3%)	Imbalance
`name_BMW` is highly imbalanced (94.0%)	Imbalance
`name_Chevrolet` is highly imbalanced (79.6%)	Imbalance
`name_Daewoo` is highly imbalanced (99.4%)	Imbalance
`name_Datsun` is highly imbalanced (92.9%)	Imbalance
`name_Fiat` is highly imbalanced (94.4%)	Imbalance
`name_Force` is highly imbalanced (99.2%)	Imbalance
`name_Ford` is highly imbalanced (70.5%)	Imbalance
`name_Honda` is highly imbalanced (70.2%)	Imbalance
`name_Isuzu` is highly imbalanced (99.2%)	Imbalance
`name_Jaguar` is highly imbalanced (98.5%)	Imbalance
`name_Jeep` is highly imbalanced (96.8%)	Imbalance
`name_Kia` is highly imbalanced (99.4%)	Imbalance
`name_Land` is highly imbalanced (99.4%)	Imbalance
`name_Lexus` is highly imbalanced (99.8%)	Imbalance
`name_MG` is highly imbalanced (99.4%)	Imbalance
`name_Mahindra` is highly imbalanced (51.7%)	Imbalance
`name_Mercedes-Benz` is highly imbalanced (93.8%)	Imbalance
`name_Mitsubishi` is highly imbalanced (98.5%)	Imbalance
`name_Nissan` is highly imbalanced (91.6%)	Imbalance
`name_Peugeot` is highly imbalanced (99.8%)	Imbalance
`name_Renault` is highly imbalanced (80.7%)	Imbalance
`name_Skoda` is highly imbalanced (91.8%)	Imbalance
`name_Tata` is highly imbalanced (56.2%)	Imbalance
`name_Toyota` is highly imbalanced (70.4%)	Imbalance
`name_Volkswagen` is highly imbalanced (82.6%)	Imbalance
`name_Volvo` is highly imbalanced (98.5%)	Imbalance
`fuel_LPG` is highly imbalanced (95.0%)	Imbalance
`seller_type_Individual` is highly imbalanced (52.1%)	Imbalance
`seller_type_Trustmark Dealer` is highly imbalanced (96.1%)	Imbalance
`transmission_Manual` is highly imbalanced (58.2%)	Imbalance
`owner_Fourth & Above Owner` is highly imbalanced (84.0%)	Imbalance
`owner_Test Drive Car` is highly imbalanced (99.2%)	Imbalance
`owner_Third Owner` is highly imbalanced (61.2%)	Imbalance
`seats_4` is highly imbalanced (88.1%)	Imbalance
`seats_6` is highly imbalanced (93.2%)	Imbalance
`seats_8` is highly imbalanced (79.3%)	Imbalance
`seats_9` is highly imbalanced (91.0%)	Imbalance
`seats_10` is highly imbalanced (97.1%)	Imbalance
`seats_14` is highly imbalanced (99.8%)	Imbalance

Reproduction

Analysis started	2024-11-27 19:13:11.440237
Analysis finished	2024-11-27 19:13:39.433027
Duration	27.99 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

year
Real number (ℝ)

High correlation

Distinct	29
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2013.4475

Minimum	1983
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.1 KiB

Quantile statistics

Minimum	1983
5-th percentile	2006
Q1	2011
median	2014
Q3	2017
95-th percentile	2019
Maximum	2020
Range	37
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.0799204
Coefficient of variation (CV)	0.0020263357
Kurtosis	1.6891091
Mean	2013.4475
Median Absolute Deviation (MAD)	3
Skewness	-1.0198946
Sum	12108873
Variance	16.64575
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
2017	696	11.6%
2016	615	10.2%
2015	585	9.7%
2018	536	8.9%
2012	524	8.7%
2014	503	8.4%
2013	488	8.1%
2011	469	7.8%
2010	329	5.5%
2019	306	5.1%
Other values (19)	963	16.0%

Value	Count	Frequency (%)
1983	1	< 0.1%
1991	1	< 0.1%
1994	3	< 0.1%
1995	1	< 0.1%
1996	3	< 0.1%
1997	10	0.2%
1998	9	0.1%
1999	12	0.2%
2000	19	0.3%
2001	7	0.1%

Value	Count	Frequency (%)
2020	59	1.0%
2019	306	5.1%
2018	536	8.9%
2017	696	11.6%
2016	615	10.2%
2015	585	9.7%
2014	503	8.4%
2013	488	8.1%
2012	524	8.7%
2011	469	7.8%

selling_price
Real number (ℝ)

High correlation

Distinct	637
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	521982.03

Minimum	29999
Maximum	10000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.1 KiB

Quantile statistics

Minimum	29999
5-th percentile	100000
Q1	250000
median	409999
Q3	640000
95-th percentile	1200000
Maximum	10000000
Range	9970001
Interquartile range (IQR)	390000

Descriptive statistics

Standard deviation	533842.62
Coefficient of variation (CV)	1.0227222
Kurtosis	52.713853
Mean	521982.03
Median Absolute Deviation (MAD)	190001
Skewness	5.6236928
Sum	3.1391999 × 10⁹
Variance	2.8498794 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300000	188	3.1%
350000	173	2.9%
400000	147	2.4%
250000	144	2.4%
550000	142	2.4%
600000	142	2.4%
500000	138	2.3%
450000	137	2.3%
200000	133	2.2%
650000	125	2.1%
Other values (627)	4545	75.6%

Value	Count	Frequency (%)
29999	1	< 0.1%
30000	2	< 0.1%
31504	1	< 0.1%
35000	3	< 0.1%
39000	1	< 0.1%
40000	12	0.2%
42000	2	< 0.1%
45000	16	0.3%
45957	1	< 0.1%
50000	15	0.2%

Value	Count	Frequency (%)
10000000	1	< 0.1%
7200000	1	< 0.1%
6523000	1	< 0.1%
6223000	1	< 0.1%
6000000	3	< 0.1%
5923000	1	< 0.1%
5850000	1	< 0.1%
5830000	1	< 0.1%
5800000	2	< 0.1%
5500000	3	< 0.1%

km_driven
Real number (ℝ)

High correlation

Distinct	827
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	73764.15

Minimum	1
Maximum	2360457
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.1 KiB

Quantile statistics

Minimum	1
5-th percentile	11325
Q1	39000
median	70000
Q3	100000
95-th percentile	155000
Maximum	2360457
Range	2360456
Interquartile range (IQR)	61000

Descriptive statistics

Standard deviation	59610.747
Coefficient of variation (CV)	0.80812627
Kurtosis	416.83816
Mean	73764.15
Median Absolute Deviation (MAD)	30000
Skewness	12.58954
Sum	4.436176 × 10⁸
Variance	3.5534411 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120000	446	7.4%
70000	373	6.2%
80000	371	6.2%
60000	342	5.7%
50000	313	5.2%
100000	290	4.8%
90000	280	4.7%
40000	238	4.0%
110000	229	3.8%
30000	192	3.2%
Other values (817)	2940	48.9%

Value	Count	Frequency (%)
1	1	< 0.1%
1000	5	0.1%
1300	1	< 0.1%
1303	1	< 0.1%
1500	2	< 0.1%
1600	1	< 0.1%
1620	1	< 0.1%
2000	6	0.1%
2118	1	< 0.1%
2136	1	< 0.1%

Value	Count	Frequency (%)
2360457	1	< 0.1%
1500000	1	< 0.1%
577414	1	< 0.1%
500000	2	< 0.1%
475000	1	< 0.1%
440000	1	< 0.1%
426000	1	< 0.1%
380000	1	< 0.1%
376412	1	< 0.1%
370000	1	< 0.1%

mileage
Real number (ℝ)

High correlation

Distinct	375
Distinct (%)	6.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.471521

Minimum	0
Maximum	42
Zeros	14
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	47.1 KiB

Quantile statistics

Minimum	0
5-th percentile	12.9585
Q1	17
median	19.3
Q3	22.32
95-th percentile	25.83
Maximum	42
Range	42
Interquartile range (IQR)	5.32

Descriptive statistics

Standard deviation	3.9850481
Coefficient of variation (CV)	0.20466034
Kurtosis	0.83456126
Mean	19.471521
Median Absolute Deviation (MAD)	2.7
Skewness	-0.17579993
Sum	117101.73
Variance	15.880608
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19.3	247	4.1%
18.9	184	3.1%
19.7	146	2.4%
18.6	130	2.2%
21.1	124	2.1%
17	108	1.8%
15.96	98	1.6%
17.8	90	1.5%
16.1	86	1.4%
15.1	79	1.3%
Other values (365)	4722	78.5%

Value	Count	Frequency (%)
0	14	0.2%
9	4	0.1%
9.5	1	< 0.1%
10	2	< 0.1%
10.1	2	< 0.1%
10.5	14	0.2%
10.71	1	< 0.1%
10.75	1	< 0.1%
10.8	1	< 0.1%
10.9	4	0.1%

Value	Count	Frequency (%)
42	1	< 0.1%
33.44	2	< 0.1%
33	1	< 0.1%
32.52	1	< 0.1%
30.46	2	< 0.1%
28.4	74	1.2%
28.09	29	0.5%
27.62	5	0.1%
27.4	4	0.1%
27.39	21	0.3%

engine
Real number (ℝ)

High correlation

Distinct	120
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1425.7027

Minimum	624
Maximum	3604
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.1 KiB

Quantile statistics

Minimum	624
5-th percentile	796
Q1	1197
median	1248
Q3	1498
95-th percentile	2499
Maximum	3604
Range	2980
Interquartile range (IQR)	301

Descriptive statistics

Standard deviation	484.72854
Coefficient of variation (CV)	0.33999272
Kurtosis	1.1330892
Mean	1425.7027
Median Absolute Deviation (MAD)	213
Skewness	1.2666541
Sum	8574176
Variance	234961.75
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1248	985	16.4%
1197	604	10.0%
796	360	6.0%
998	343	5.7%
1498	292	4.9%
2179	290	4.8%
1396	234	3.9%
1199	167	2.8%
2523	160	2.7%
1461	148	2.5%
Other values (110)	2431	40.4%

Value	Count	Frequency (%)
624	16	0.3%
793	5	0.1%
796	360	6.0%
799	61	1.0%
814	92	1.5%
909	2	< 0.1%
936	29	0.5%
993	24	0.4%
995	40	0.7%
998	343	5.7%

Value	Count	Frequency (%)
3604	1	< 0.1%
3498	1	< 0.1%
3198	2	< 0.1%
2999	2	< 0.1%
2997	2	< 0.1%
2993	12	0.2%
2987	8	0.1%
2982	23	0.4%
2967	8	0.1%
2956	14	0.2%

max_power
Real number (ℝ)

High correlation

Distinct	313
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.686531

Minimum	0
Maximum	400
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	47.1 KiB

Quantile statistics

Minimum	0
5-th percentile	47.3
Q1	68
median	81.86
Q3	99
95-th percentile	147.835
Maximum	400
Range	400
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	31.553076
Coefficient of variation (CV)	0.35983948
Kurtosis	6.0133389
Mean	87.686531
Median Absolute Deviation (MAD)	14.81
Skewness	1.792426
Sum	527346.8
Variance	995.59659
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
74	282	4.7%
82	275	4.6%
88.5	168	2.8%
67	138	2.3%
46.3	136	2.3%
81.8	120	2.0%
62.1	119	2.0%
67.1	119	2.0%
67.04	117	1.9%
70	113	1.9%
Other values (303)	4427	73.6%

Value	Count	Frequency (%)
0	3	< 0.1%
32.8	2	< 0.1%
34.2	18	0.3%
35	14	0.2%
35.5	2	< 0.1%
37	71	1.2%
37.48	8	0.1%
37.5	6	0.1%
38	1	< 0.1%
38.4	2	< 0.1%

Value	Count	Frequency (%)
400	1	< 0.1%
282	1	< 0.1%
280	1	< 0.1%
272	1	< 0.1%
270.9	3	< 0.1%
265	1	< 0.1%
261.4	4	0.1%
258	2	< 0.1%
254.8	3	< 0.1%
254.79	1	< 0.1%

name_Audi
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5983
1.0	31

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5983	99.5%
1.0	31	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5983	99.5%
1.0	31	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	11997	66.5%
.	6014	33.3%
1	31	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11997	66.5%
.	6014	33.3%
1	31	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11997	66.5%
.	6014	33.3%
1	31	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11997	66.5%
.	6014	33.3%
1	31	0.2%

name_BMW
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5972
1.0	42

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5972	99.3%
1.0	42	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5972	99.3%
1.0	42	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	11986	66.4%
.	6014	33.3%
1	42	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11986	66.4%
.	6014	33.3%
1	42	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11986	66.4%
.	6014	33.3%
1	42	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11986	66.4%
.	6014	33.3%
1	42	0.2%

name_Chevrolet
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5822
1.0	192

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5822	96.8%
1.0	192	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5822	96.8%
1.0	192	3.2%

Most occurring characters

Value	Count	Frequency (%)
0	11836	65.6%
.	6014	33.3%
1	192	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11836	65.6%
.	6014	33.3%
1	192	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11836	65.6%
.	6014	33.3%
1	192	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11836	65.6%
.	6014	33.3%
1	192	1.1%

name_Daewoo
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6011
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6011	> 99.9%
1.0	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6011	> 99.9%
1.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

name_Datsun
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5963
1.0	51

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5963	99.2%
1.0	51	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5963	99.2%
1.0	51	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	11977	66.4%
.	6014	33.3%
1	51	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11977	66.4%
.	6014	33.3%
1	51	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11977	66.4%
.	6014	33.3%
1	51	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11977	66.4%
.	6014	33.3%
1	51	0.3%

name_Fiat
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5975
1.0	39

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5975	99.4%
1.0	39	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5975	99.4%
1.0	39	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	11989	66.5%
.	6014	33.3%
1	39	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11989	66.5%
.	6014	33.3%
1	39	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11989	66.5%
.	6014	33.3%
1	39	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11989	66.5%
.	6014	33.3%
1	39	0.2%

name_Force
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6010
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6010	99.9%
1.0	4	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6010	99.9%
1.0	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

name_Ford
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5701
1.0	313

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5701	94.8%
1.0	313	5.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5701	94.8%
1.0	313	5.2%

Most occurring characters

Value	Count	Frequency (%)
0	11715	64.9%
.	6014	33.3%
1	313	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11715	64.9%
.	6014	33.3%
1	313	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11715	64.9%
.	6014	33.3%
1	313	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11715	64.9%
.	6014	33.3%
1	313	1.7%

name_Honda
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5697
1.0	317

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5697	94.7%
1.0	317	5.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5697	94.7%
1.0	317	5.3%

Most occurring characters

Value	Count	Frequency (%)
0	11711	64.9%
.	6014	33.3%
1	317	1.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11711	64.9%
.	6014	33.3%
1	317	1.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11711	64.9%
.	6014	33.3%
1	317	1.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11711	64.9%
.	6014	33.3%
1	317	1.8%

name_Hyundai
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	4931
1.0	1083

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	4931	82.0%
1.0	1083	18.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	4931	82.0%
1.0	1083	18.0%

Most occurring characters

Value	Count	Frequency (%)
0	10945	60.7%
.	6014	33.3%
1	1083	6.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	10945	60.7%
.	6014	33.3%
1	1083	6.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	10945	60.7%
.	6014	33.3%
1	1083	6.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	10945	60.7%
.	6014	33.3%
1	1083	6.0%

name_Isuzu
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6010
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6010	99.9%
1.0	4	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6010	99.9%
1.0	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

name_Jaguar
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6006
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6006	99.9%
1.0	8	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6006	99.9%
1.0	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

name_Jeep
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5994
1.0	20

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5994	99.7%
1.0	20	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5994	99.7%
1.0	20	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	12008	66.6%
.	6014	33.3%
1	20	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12008	66.6%
.	6014	33.3%
1	20	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12008	66.6%
.	6014	33.3%
1	20	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12008	66.6%
.	6014	33.3%
1	20	0.1%

name_Kia
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6011
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6011	> 99.9%
1.0	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6011	> 99.9%
1.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

name_Land
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6011
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6011	> 99.9%
1.0	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6011	> 99.9%
1.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

name_Lexus
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6013
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6013	> 99.9%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6013	> 99.9%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

name_MG
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6011
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6011	> 99.9%
1.0	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6011	> 99.9%
1.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12025	66.7%
.	6014	33.3%
1	3	< 0.1%

name_Mahindra
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5385
1.0	629

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5385	89.5%
1.0	629	10.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5385	89.5%
1.0	629	10.5%

Most occurring characters

Value	Count	Frequency (%)
0	11399	63.2%
.	6014	33.3%
1	629	3.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11399	63.2%
.	6014	33.3%
1	629	3.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11399	63.2%
.	6014	33.3%
1	629	3.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11399	63.2%
.	6014	33.3%
1	629	3.5%

name_Maruti
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	4128
1.0	1886

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4128	68.6%
1.0	1886	31.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	4128	68.6%
1.0	1886	31.4%

Most occurring characters

Value	Count	Frequency (%)
0	10142	56.2%
.	6014	33.3%
1	1886	10.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	10142	56.2%
.	6014	33.3%
1	1886	10.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	10142	56.2%
.	6014	33.3%
1	1886	10.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	10142	56.2%
.	6014	33.3%
1	1886	10.5%

name_Mercedes-Benz
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5970
1.0	44

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5970	99.3%
1.0	44	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5970	99.3%
1.0	44	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	11984	66.4%
.	6014	33.3%
1	44	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11984	66.4%
.	6014	33.3%
1	44	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11984	66.4%
.	6014	33.3%
1	44	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11984	66.4%
.	6014	33.3%
1	44	0.2%

name_Mitsubishi
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6006
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6006	99.9%
1.0	8	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6006	99.9%
1.0	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

name_Nissan
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5951
1.0	63

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5951	99.0%
1.0	63	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5951	99.0%
1.0	63	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	11965	66.3%
.	6014	33.3%
1	63	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11965	66.3%
.	6014	33.3%
1	63	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11965	66.3%
.	6014	33.3%
1	63	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11965	66.3%
.	6014	33.3%
1	63	0.3%

name_Peugeot
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6013
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6013	> 99.9%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6013	> 99.9%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

name_Renault
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5835
1.0	179

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5835	97.0%
1.0	179	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5835	97.0%
1.0	179	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	11849	65.7%
.	6014	33.3%
1	179	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11849	65.7%
.	6014	33.3%
1	179	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11849	65.7%
.	6014	33.3%
1	179	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11849	65.7%
.	6014	33.3%
1	179	1.0%

name_Skoda
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5953
1.0	61

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5953	99.0%
1.0	61	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5953	99.0%
1.0	61	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	11967	66.3%
.	6014	33.3%
1	61	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11967	66.3%
.	6014	33.3%
1	61	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11967	66.3%
.	6014	33.3%
1	61	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11967	66.3%
.	6014	33.3%
1	61	0.3%

name_Tata
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5470
1.0	544

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5470	91.0%
1.0	544	9.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5470	91.0%
1.0	544	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	11484	63.7%
.	6014	33.3%
1	544	3.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11484	63.7%
.	6014	33.3%
1	544	3.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11484	63.7%
.	6014	33.3%
1	544	3.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11484	63.7%
.	6014	33.3%
1	544	3.0%

name_Toyota
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5700
1.0	314

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5700	94.8%
1.0	314	5.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5700	94.8%
1.0	314	5.2%

Most occurring characters

Value	Count	Frequency (%)
0	11714	64.9%
.	6014	33.3%
1	314	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11714	64.9%
.	6014	33.3%
1	314	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11714	64.9%
.	6014	33.3%
1	314	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11714	64.9%
.	6014	33.3%
1	314	1.7%

name_Volkswagen
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5857
1.0	157

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5857	97.4%
1.0	157	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5857	97.4%
1.0	157	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	11871	65.8%
.	6014	33.3%
1	157	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11871	65.8%
.	6014	33.3%
1	157	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11871	65.8%
.	6014	33.3%
1	157	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11871	65.8%
.	6014	33.3%
1	157	0.9%

name_Volvo
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6006
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6006	99.9%
1.0	8	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6006	99.9%
1.0	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12020	66.6%
.	6014	33.3%
1	8	< 0.1%

fuel_Diesel
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

1.0	3269
0.0	2745

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	3269	54.4%
0.0	2745	45.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	3269	54.4%
0.0	2745	45.6%

Most occurring characters

Value	Count	Frequency (%)
0	8759	48.5%
.	6014	33.3%
1	3269	18.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	8759	48.5%
.	6014	33.3%
1	3269	18.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	8759	48.5%
.	6014	33.3%
1	3269	18.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	8759	48.5%
.	6014	33.3%
1	3269	18.1%

fuel_LPG
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5980
1.0	34

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5980	99.4%
1.0	34	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5980	99.4%
1.0	34	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	11994	66.5%
.	6014	33.3%
1	34	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11994	66.5%
.	6014	33.3%
1	34	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11994	66.5%
.	6014	33.3%
1	34	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11994	66.5%
.	6014	33.3%
1	34	0.2%

fuel_Petrol
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	3354
1.0	2660

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	3354	55.8%
1.0	2660	44.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	3354	55.8%
1.0	2660	44.2%

Most occurring characters

Value	Count	Frequency (%)
0	9368	51.9%
.	6014	33.3%
1	2660	14.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	9368	51.9%
.	6014	33.3%
1	2660	14.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	9368	51.9%
.	6014	33.3%
1	2660	14.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	9368	51.9%
.	6014	33.3%
1	2660	14.7%

seller_type_Individual
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

1.0	5394
0.0	620

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	5394	89.7%
0.0	620	10.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	5394	89.7%
0.0	620	10.3%

Most occurring characters

Value	Count	Frequency (%)
0	6634	36.8%
.	6014	33.3%
1	5394	29.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	6634	36.8%
.	6014	33.3%
1	5394	29.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	6634	36.8%
.	6014	33.3%
1	5394	29.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	6634	36.8%
.	6014	33.3%
1	5394	29.9%

seller_type_Trustmark Dealer
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5989
1.0	25

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5989	99.6%
1.0	25	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5989	99.6%
1.0	25	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	12003	66.5%
.	6014	33.3%
1	25	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12003	66.5%
.	6014	33.3%
1	25	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12003	66.5%
.	6014	33.3%
1	25	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12003	66.5%
.	6014	33.3%
1	25	0.1%

transmission_Manual
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

1.0	5505
0.0	509

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	5505	91.5%
0.0	509	8.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	5505	91.5%
0.0	509	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	6523	36.2%
.	6014	33.3%
1	5505	30.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	6523	36.2%
.	6014	33.3%
1	5505	30.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	6523	36.2%
.	6014	33.3%
1	5505	30.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	6523	36.2%
.	6014	33.3%
1	5505	30.5%

owner_Fourth & Above Owner
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5873
1.0	141

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5873	97.7%
1.0	141	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5873	97.7%
1.0	141	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	11887	65.9%
.	6014	33.3%
1	141	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11887	65.9%
.	6014	33.3%
1	141	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11887	65.9%
.	6014	33.3%
1	141	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11887	65.9%
.	6014	33.3%
1	141	0.8%

owner_Second Owner
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	4323
1.0	1691

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4323	71.9%
1.0	1691	28.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	4323	71.9%
1.0	1691	28.1%

Most occurring characters

Value	Count	Frequency (%)
0	10337	57.3%
.	6014	33.3%
1	1691	9.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	10337	57.3%
.	6014	33.3%
1	1691	9.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	10337	57.3%
.	6014	33.3%
1	1691	9.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	10337	57.3%
.	6014	33.3%
1	1691	9.4%

owner_Test Drive Car
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6010
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6010	99.9%
1.0	4	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6010	99.9%
1.0	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12024	66.6%
.	6014	33.3%
1	4	< 0.1%

owner_Third Owner
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5557
1.0	457

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5557	92.4%
1.0	457	7.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5557	92.4%
1.0	457	7.6%

Most occurring characters

Value	Count	Frequency (%)
0	11571	64.1%
.	6014	33.3%
1	457	2.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11571	64.1%
.	6014	33.3%
1	457	2.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11571	64.1%
.	6014	33.3%
1	457	2.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11571	64.1%
.	6014	33.3%
1	457	2.5%

seats_4
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5917
1.0	97

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5917	98.4%
1.0	97	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5917	98.4%
1.0	97	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	11931	66.1%
.	6014	33.3%
1	97	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11931	66.1%
.	6014	33.3%
1	97	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11931	66.1%
.	6014	33.3%
1	97	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11931	66.1%
.	6014	33.3%
1	97	0.5%

seats_5
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

1.0	4762
0.0	1252

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	4762	79.2%
0.0	1252	20.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	4762	79.2%
0.0	1252	20.8%

Most occurring characters

Value	Count	Frequency (%)
0	7266	40.3%
.	6014	33.3%
1	4762	26.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	7266	40.3%
.	6014	33.3%
1	4762	26.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	7266	40.3%
.	6014	33.3%
1	4762	26.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	7266	40.3%
.	6014	33.3%
1	4762	26.4%

seats_6
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5965
1.0	49

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5965	99.2%
1.0	49	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5965	99.2%
1.0	49	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	11979	66.4%
.	6014	33.3%
1	49	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11979	66.4%
.	6014	33.3%
1	49	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11979	66.4%
.	6014	33.3%
1	49	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11979	66.4%
.	6014	33.3%
1	49	0.3%

seats_7
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5194
1.0	820

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5194	86.4%
1.0	820	13.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5194	86.4%
1.0	820	13.6%

Most occurring characters

Value	Count	Frequency (%)
0	11208	62.1%
.	6014	33.3%
1	820	4.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11208	62.1%
.	6014	33.3%
1	820	4.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11208	62.1%
.	6014	33.3%
1	820	4.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11208	62.1%
.	6014	33.3%
1	820	4.5%

seats_8
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5818
1.0	196

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5818	96.7%
1.0	196	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5818	96.7%
1.0	196	3.3%

Most occurring characters

Value	Count	Frequency (%)
0	11832	65.6%
.	6014	33.3%
1	196	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11832	65.6%
.	6014	33.3%
1	196	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11832	65.6%
.	6014	33.3%
1	196	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11832	65.6%
.	6014	33.3%
1	196	1.1%

seats_9
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5945
1.0	69

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5945	98.9%
1.0	69	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5945	98.9%
1.0	69	1.1%

Most occurring characters

Value	Count	Frequency (%)
0	11959	66.3%
.	6014	33.3%
1	69	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11959	66.3%
.	6014	33.3%
1	69	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11959	66.3%
.	6014	33.3%
1	69	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11959	66.3%
.	6014	33.3%
1	69	0.4%

seats_10
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	5996
1.0	18

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5996	99.7%
1.0	18	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5996	99.7%
1.0	18	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	12010	66.6%
.	6014	33.3%
1	18	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12010	66.6%
.	6014	33.3%
1	18	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12010	66.6%
.	6014	33.3%
1	18	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12010	66.6%
.	6014	33.3%
1	18	0.1%

seats_14
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	352.5 KiB

0.0	6013
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18042
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6013	> 99.9%
1.0	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6013	> 99.9%
1.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12027	66.7%
.	6014	33.3%
1	1	< 0.1%

Interactions

Correlations

	engine	fuel_Diesel	fuel_LPG	fuel_Petrol	km_driven	max_power	mileage	name_Audi	name_BMW	name_Chevrolet	name_Daewoo	name_Datsun	name_Fiat	name_Force	name_Ford	name_Honda	name_Hyundai	name_Isuzu	name_Jaguar	name_Jeep	name_Kia	name_Land	name_Lexus	name_MG	name_Mahindra	name_Maruti	name_Mercedes-Benz	name_Mitsubishi	name_Nissan	name_Peugeot	name_Renault	name_Skoda	name_Tata	name_Toyota	name_Volkswagen	name_Volvo	owner_Fourth & Above Owner	owner_Second Owner	owner_Test Drive Car	owner_Third Owner	seats_10	seats_14	seats_4	seats_5	seats_6	seats_7	seats_8	seats_9	seller_type_Individual	seller_type_Trustmark Dealer	selling_price	transmission_Manual	year
engine	1.000	0.774	0.074	0.749	0.305	0.717	-0.427	0.274	0.360	0.166	0.060	0.111	0.081	0.056	0.213	0.161	0.353	0.102	0.129	0.300	0.000	0.059	0.029	0.000	0.579	0.395	0.248	0.114	0.077	0.000	0.142	0.197	0.185	0.424	0.186	0.202	0.000	0.080	0.102	0.065	0.155	0.061	0.370	0.718	0.111	0.594	0.377	0.303	0.137	0.000	0.468	0.400	-0.037
fuel_Diesel	0.774	1.000	0.079	0.972	0.066	0.258	0.335	0.038	0.066	0.000	0.011	0.098	0.036	0.011	0.096	0.093	0.176	0.011	0.026	0.024	0.002	0.002	0.000	0.011	0.283	0.233	0.035	0.026	0.000	0.000	0.019	0.043	0.118	0.142	0.053	0.015	0.004	0.037	0.017	0.000	0.045	0.000	0.116	0.311	0.013	0.306	0.114	0.096	0.022	0.051	0.182	0.007	0.202
fuel_LPG	0.074	0.079	1.000	0.064	0.000	0.060	0.061	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.022	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.018	0.045	0.000	0.000	0.000	0.000	0.000	0.000	0.015	0.000	0.000	0.000	0.000	0.007	0.000	0.000	0.000	0.000	0.000	0.034	0.000	0.023	0.000	0.000	0.000	0.000	0.000	0.014	0.115
fuel_Petrol	0.749	0.972	0.064	1.000	0.071	0.243	0.356	0.036	0.063	0.000	0.012	0.101	0.034	0.010	0.089	0.100	0.174	0.010	0.025	0.022	0.000	0.000	0.000	0.012	0.274	0.207	0.033	0.025	0.000	0.000	0.025	0.040	0.110	0.135	0.049	0.014	0.000	0.041	0.018	0.000	0.044	0.000	0.115	0.300	0.009	0.297	0.111	0.093	0.013	0.053	0.175	0.019	0.199
km_driven	0.305	0.066	0.000	0.071	1.000	0.045	-0.197	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.039	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.034	0.044	0.000	0.037	0.000	0.000	0.000	0.000	0.000	0.178	0.000	0.000	0.050	0.029	0.000	0.028	0.009	0.000	0.000	0.114	0.000	0.090	0.079	0.000	0.022	0.000	-0.294	0.016	-0.573
max_power	0.717	0.258	0.060	0.243	0.045	1.000	-0.307	0.375	0.414	0.126	0.000	0.099	0.021	0.018	0.064	0.201	0.160	0.073	0.243	0.275	0.000	0.027	0.275	0.063	0.158	0.354	0.487	0.094	0.046	0.000	0.065	0.027	0.103	0.204	0.055	0.375	0.044	0.065	0.103	0.043	0.043	0.000	0.783	0.349	0.025	0.326	0.158	0.048	0.216	0.048	0.612	0.513	0.162
mileage	-0.427	0.335	0.061	0.356	-0.197	-0.307	1.000	0.089	0.017	0.095	0.000	0.053	0.054	0.000	0.040	0.185	0.209	0.098	0.050	0.024	0.000	0.152	0.000	0.027	0.403	0.273	0.161	0.062	0.051	0.000	0.142	0.018	0.020	0.252	0.061	0.355	0.070	0.106	0.037	0.102	0.111	0.061	0.216	0.602	0.115	0.439	0.290	0.188	0.055	0.000	0.025	0.249	0.345
name_Audi	0.274	0.038	0.000	0.036	0.000	0.375	0.089	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.044	0.000	0.000	0.000	0.000	0.000	0.000	0.013	0.000	0.000	0.000	0.000	0.000	0.223	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.085	0.000	0.406	0.232	0.000
name_BMW	0.360	0.066	0.000	0.063	0.000	0.414	0.017	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.008	0.008	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.022	0.053	0.000	0.000	0.000	0.000	0.000	0.000	0.019	0.008	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.075	0.000	0.000	0.021	0.000	0.000	0.119	0.000	0.480	0.272	0.012
name_Chevrolet	0.166	0.000	0.000	0.000	0.000	0.126	0.095	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.038	0.039	0.083	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.059	0.121	0.000	0.000	0.006	0.000	0.026	0.005	0.054	0.038	0.023	0.000	0.028	0.035	0.000	0.012	0.189	0.000	0.000	0.018	0.000	0.013	0.000	0.054	0.033	0.000	0.028	0.034	0.120
name_Daewoo	0.060	0.011	0.000	0.012	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.249
name_Datsun	0.111	0.098	0.000	0.101	0.000	0.099	0.053	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.012	0.012	0.039	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.026	0.059	0.000	0.000	0.000	0.000	0.000	0.000	0.023	0.012	0.000	0.000	0.000	0.042	0.000	0.010	0.000	0.000	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.000	0.000	0.021	0.081
name_Fiat	0.081	0.036	0.000	0.034	0.000	0.021	0.054	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.006	0.006	0.033	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.021	0.051	0.000	0.000	0.000	0.000	0.000	0.000	0.018	0.006	0.000	0.000	0.000	0.010	0.000	0.000	0.000	0.000	0.000	0.037	0.000	0.026	0.000	0.000	0.000	0.000	0.000	0.016	0.048
name_Force	0.056	0.011	0.000	0.010	0.000	0.018	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.023	0.000	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.000
name_Ford	0.213	0.096	0.000	0.089	0.000	0.064	0.040	0.000	0.008	0.038	0.000	0.012	0.006	0.000	1.000	0.052	0.108	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.078	0.157	0.009	0.000	0.016	0.000	0.037	0.015	0.071	0.052	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.024	0.096	0.011	0.065	0.039	0.017	0.063	0.000	0.027	0.038	0.045
name_Honda	0.161	0.093	0.000	0.100	0.000	0.201	0.185	0.000	0.008	0.039	0.000	0.012	0.006	0.000	0.052	1.000	0.109	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.078	0.158	0.009	0.000	0.016	0.000	0.037	0.016	0.072	0.052	0.034	0.000	0.026	0.014	0.000	0.000	0.000	0.000	0.024	0.082	0.011	0.048	0.039	0.018	0.089	0.047	0.000	0.045	0.063
name_Hyundai	0.353	0.176	0.022	0.174	0.039	0.160	0.209	0.028	0.034	0.083	0.000	0.039	0.033	0.000	0.108	0.109	1.000	0.000	0.000	0.019	0.000	0.000	0.000	0.000	0.159	0.316	0.035	0.000	0.044	0.000	0.080	0.043	0.146	0.108	0.074	0.000	0.016	0.000	0.000	0.000	0.017	0.000	0.057	0.233	0.038	0.178	0.084	0.047	0.035	0.000	0.053	0.016	0.033
name_Isuzu	0.102	0.011	0.000	0.010	0.000	0.073	0.098	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.012	0.000	0.000	0.000	0.000	0.099	0.048	0.000
name_Jaguar	0.129	0.026	0.000	0.025	0.000	0.243	0.050	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.015	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.038	0.000	0.282	0.111	0.000
name_Jeep	0.300	0.024	0.000	0.022	0.000	0.275	0.024	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.019	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.008	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.000	0.023	0.000	0.014	0.000	0.000	0.000	0.000	0.234	0.000	0.089
name_Kia	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.049	0.031	0.007
name_Land	0.059	0.002	0.000	0.000	0.000	0.027	0.152	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.026	0.000	0.263	0.059	0.000
name_Lexus	0.029	0.000	0.000	0.000	0.000	0.275	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.000	0.255	0.014	0.000
name_MG	0.000	0.011	0.000	0.012	0.000	0.063	0.027	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.052	0.000	0.087	0.059	0.007
name_Mahindra	0.579	0.283	0.018	0.274	0.034	0.158	0.403	0.016	0.022	0.059	0.000	0.026	0.021	0.000	0.078	0.078	0.159	0.000	0.000	0.008	0.000	0.000	0.000	0.000	1.000	0.230	0.023	0.000	0.030	0.000	0.057	0.029	0.106	0.078	0.053	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.040	0.583	0.250	0.467	0.180	0.251	0.058	0.012	0.089	0.038	0.074
name_Maruti	0.395	0.233	0.045	0.207	0.044	0.354	0.273	0.044	0.053	0.121	0.000	0.059	0.051	0.000	0.157	0.158	0.316	0.000	0.015	0.034	0.000	0.000	0.000	0.000	0.230	1.000	0.054	0.015	0.067	0.000	0.117	0.065	0.212	0.157	0.109	0.015	0.021	0.000	0.000	0.024	0.031	0.000	0.116	0.146	0.050	0.137	0.067	0.070	0.045	0.000	0.174	0.089	0.100
name_Mercedes-Benz	0.248	0.035	0.000	0.033	0.000	0.487	0.161	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.009	0.009	0.035	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.023	0.054	1.000	0.000	0.000	0.000	0.000	0.000	0.020	0.009	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.029	0.000	0.015	0.000	0.000	0.089	0.000	0.366	0.265	0.000
name_Mitsubishi	0.114	0.026	0.000	0.025	0.037	0.094	0.062	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.015	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.029	0.000	0.000	0.000	0.000	0.038	0.000	0.150
name_Nissan	0.077	0.000	0.000	0.000	0.000	0.046	0.051	0.000	0.000	0.006	0.000	0.000	0.000	0.000	0.016	0.016	0.044	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.030	0.067	0.000	0.000	1.000	0.000	0.003	0.000	0.027	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.049	0.000	0.036	0.006	0.000	0.000	0.000	0.000	0.000	0.037
name_Peugeot	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.264
name_Renault	0.142	0.019	0.000	0.025	0.000	0.065	0.142	0.000	0.000	0.026	0.000	0.000	0.000	0.000	0.037	0.037	0.080	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.057	0.117	0.000	0.000	0.003	0.000	1.000	0.000	0.052	0.037	0.022	0.000	0.020	0.032	0.000	0.027	0.000	0.000	0.013	0.048	0.000	0.038	0.000	0.006	0.000	0.000	0.005	0.015	0.097
name_Skoda	0.197	0.043	0.000	0.040	0.000	0.027	0.018	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.015	0.016	0.043	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.029	0.065	0.000	0.000	0.000	0.000	0.000	1.000	0.026	0.015	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.000	0.000	0.048	0.000	0.036	0.005	0.000	0.019	0.000	0.000	0.054	0.026
name_Tata	0.185	0.118	0.015	0.110	0.000	0.103	0.020	0.013	0.019	0.054	0.000	0.023	0.018	0.000	0.071	0.072	0.146	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.106	0.212	0.020	0.000	0.027	0.000	0.052	0.026	1.000	0.072	0.048	0.000	0.000	0.000	0.000	0.000	0.028	0.013	0.028	0.000	0.022	0.034	0.051	0.008	0.059	0.009	0.034	0.067	0.109
name_Toyota	0.424	0.142	0.000	0.135	0.178	0.204	0.252	0.000	0.008	0.038	0.000	0.012	0.006	0.000	0.052	0.052	0.108	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.078	0.157	0.009	0.000	0.016	0.000	0.037	0.015	0.072	1.000	0.034	0.000	0.000	0.031	0.000	0.000	0.000	0.000	0.024	0.237	0.011	0.167	0.266	0.018	0.032	0.035	0.218	0.035	0.056
name_Volkswagen	0.186	0.053	0.000	0.049	0.000	0.055	0.061	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.034	0.034	0.074	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.053	0.109	0.000	0.000	0.000	0.000	0.022	0.000	0.048	0.034	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.082	0.000	0.062	0.024	0.000	0.022	0.000	0.000	0.009	0.056
name_Volvo	0.202	0.015	0.000	0.014	0.000	0.375	0.355	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.015	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.022	0.000	0.406	0.111	0.000
owner_Fourth & Above Owner	0.000	0.004	0.000	0.000	0.050	0.044	0.070	0.000	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.026	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.021	0.000	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.000	0.000	1.000	0.095	0.000	0.040	0.000	0.000	0.035	0.000	0.000	0.013	0.020	0.000	0.049	0.000	0.021	0.022	0.223
owner_Second Owner	0.080	0.037	0.007	0.041	0.029	0.065	0.106	0.000	0.000	0.035	0.000	0.042	0.010	0.000	0.000	0.014	0.000	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.032	0.020	0.000	0.031	0.000	0.000	0.095	1.000	0.000	0.178	0.000	0.000	0.027	0.000	0.000	0.000	0.015	0.011	0.112	0.016	0.074	0.048	0.303
owner_Test Drive Car	0.102	0.017	0.000	0.018	0.000	0.103	0.037	0.223	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.064	0.000	0.718	0.072	0.023
owner_Third Owner	0.065	0.000	0.000	0.000	0.028	0.043	0.102	0.000	0.000	0.012	0.000	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.024	0.000	0.000	0.000	0.016	0.027	0.000	0.000	0.000	0.000	0.000	0.040	0.178	0.000	1.000	0.000	0.000	0.016	0.000	0.018	0.015	0.024	0.000	0.089	0.004	0.055	0.048	0.272
seats_10	0.155	0.045	0.000	0.044	0.009	0.043	0.111	0.000	0.000	0.189	0.000	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.102	0.000	0.012	0.000	0.000	0.004	0.000	0.000	0.000	0.036
seats_14	0.061	0.000	0.000	0.000	0.000	0.000	0.061	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.013	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
seats_4	0.370	0.116	0.000	0.115	0.000	0.783	0.216	0.000	0.075	0.000	0.000	0.000	0.000	0.000	0.024	0.024	0.057	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.040	0.116	0.000	0.000	0.000	0.000	0.013	0.000	0.028	0.024	0.011	0.004	0.035	0.027	0.000	0.016	0.000	0.000	1.000	0.248	0.000	0.047	0.015	0.000	0.000	0.000	0.141	0.000	0.347
seats_5	0.718	0.311	0.034	0.300	0.114	0.349	0.602	0.000	0.000	0.018	0.000	0.000	0.037	0.023	0.096	0.082	0.233	0.000	0.002	0.023	0.000	0.000	0.000	0.000	0.583	0.146	0.029	0.016	0.049	0.000	0.048	0.048	0.000	0.237	0.082	0.000	0.000	0.000	0.000	0.000	0.102	0.000	0.248	1.000	0.174	0.774	0.357	0.208	0.038	0.020	0.187	0.000	0.108
seats_6	0.111	0.013	0.000	0.009	0.000	0.025	0.115	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.011	0.038	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.250	0.050	0.000	0.000	0.000	0.000	0.000	0.000	0.022	0.011	0.000	0.000	0.000	0.000	0.000	0.018	0.000	0.000	0.000	0.174	1.000	0.031	0.000	0.000	0.017	0.000	0.000	0.021	0.077
seats_7	0.594	0.306	0.023	0.297	0.090	0.326	0.439	0.000	0.021	0.013	0.000	0.020	0.026	0.034	0.065	0.048	0.178	0.012	0.000	0.014	0.000	0.000	0.000	0.000	0.467	0.137	0.015	0.029	0.036	0.000	0.038	0.036	0.034	0.167	0.062	0.000	0.013	0.000	0.000	0.015	0.012	0.000	0.047	0.774	0.031	1.000	0.070	0.038	0.000	0.006	0.225	0.009	0.131
seats_8	0.377	0.114	0.000	0.111	0.079	0.158	0.290	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.039	0.039	0.084	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.180	0.067	0.000	0.000	0.006	0.000	0.000	0.005	0.051	0.266	0.024	0.000	0.020	0.015	0.000	0.024	0.000	0.000	0.015	0.357	0.000	0.070	1.000	0.008	0.012	0.000	0.030	0.005	0.070
seats_9	0.303	0.096	0.000	0.093	0.000	0.048	0.188	0.000	0.000	0.054	0.000	0.000	0.000	0.000	0.017	0.018	0.047	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.251	0.070	0.000	0.000	0.000	0.000	0.006	0.000	0.008	0.018	0.000	0.000	0.000	0.011	0.000	0.000	0.000	0.000	0.000	0.208	0.000	0.038	0.008	1.000	0.026	0.000	0.000	0.027	0.046
seller_type_Individual	0.137	0.022	0.000	0.013	0.022	0.216	0.055	0.085	0.119	0.033	0.000	0.000	0.000	0.000	0.063	0.089	0.035	0.000	0.038	0.000	0.000	0.026	0.011	0.052	0.058	0.045	0.089	0.000	0.000	0.000	0.000	0.019	0.059	0.032	0.022	0.022	0.049	0.112	0.064	0.089	0.004	0.000	0.000	0.038	0.017	0.000	0.012	0.026	1.000	0.186	0.225	0.216	0.147
seller_type_Trustmark Dealer	0.000	0.051	0.000	0.053	0.000	0.048	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.047	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.012	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.009	0.035	0.000	0.000	0.000	0.016	0.000	0.004	0.000	0.000	0.000	0.020	0.000	0.006	0.000	0.000	0.186	1.000	0.000	0.048	0.041
selling_price	0.468	0.182	0.000	0.175	-0.294	0.612	0.025	0.406	0.480	0.028	0.000	0.000	0.000	0.000	0.027	0.000	0.053	0.099	0.282	0.234	0.049	0.263	0.255	0.087	0.089	0.174	0.366	0.038	0.000	0.000	0.005	0.000	0.034	0.218	0.000	0.406	0.021	0.074	0.718	0.055	0.000	0.000	0.141	0.187	0.000	0.225	0.030	0.000	0.225	0.000	1.000	0.465	0.705
transmission_Manual	0.400	0.007	0.014	0.019	0.016	0.513	0.249	0.232	0.272	0.034	0.000	0.021	0.016	0.000	0.038	0.045	0.016	0.048	0.111	0.000	0.031	0.059	0.014	0.059	0.038	0.089	0.265	0.000	0.000	0.000	0.015	0.054	0.067	0.035	0.009	0.111	0.022	0.048	0.072	0.048	0.000	0.000	0.000	0.000	0.021	0.009	0.005	0.027	0.216	0.048	0.465	1.000	0.153
year	-0.037	0.202	0.115	0.199	-0.573	0.162	0.345	0.000	0.012	0.120	0.249	0.081	0.048	0.000	0.045	0.063	0.033	0.000	0.000	0.089	0.007	0.000	0.000	0.007	0.074	0.100	0.000	0.150	0.037	0.264	0.097	0.026	0.109	0.056	0.056	0.000	0.223	0.303	0.023	0.272	0.036	0.000	0.347	0.108	0.077	0.131	0.070	0.046	0.147	0.041	0.705	0.153	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	year	selling_price	km_driven	mileage	engine	max_power	name_Ford	name_Hyundai	name_Maruti	name_Renault	name_Skoda	name_Toyota	fuel_Diesel	fuel_LPG	fuel_Petrol	seller_type_Individual	transmission_Manual	owner_Second Owner	seats_4	seats_5
0	2014	450000	145500	23.40	1248	74.00	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	0.0	0.0	1.0
1	2014	370000	120000	21.14	1498	103.52	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	0.0	1.0
2	2010	225000	127000	23.00	1396	90.00	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	0.0	0.0	1.0
3	2007	130000	120000	16.10	1298	88.20	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	0.0	1.0
4	2017	440000	45000	20.14	1197	81.86	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	0.0	1.0
5	2007	96000	175000	17.30	1061	57.50	0.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	1.0
6	2001	45000	5000	16.10	796	37.00	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	1.0	1.0	1.0	0.0
7	2011	350000	90000	23.59	1364	67.10	0.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	1.0	1.0	0.0	0.0	1.0
8	2013	200000	169000	20.00	1399	68.10	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	0.0	0.0	1.0
9	2014	500000	68000	19.01	1461	108.45	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	0.0	1.0

	year	selling_price	km_driven	mileage	engine	max_power	name_Hyundai	name_Maruti	fuel_Diesel	fuel_Petrol	seller_type_Individual	transmission_Manual	owner_Fourth & Above Owner	owner_Second Owner	seats_4	seats_5
6004	2011	200000	73000	19.70	796	46.30	0.0	1.0	0.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0
6005	1997	40000	120000	16.10	796	37.00	0.0	1.0	0.0	1.0	1.0	1.0	0.0	0.0	1.0	0.0
6006	2017	340000	45000	23.95	998	67.10	0.0	1.0	0.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0
6007	2013	380000	25000	18.50	1197	82.85	1.0	0.0	0.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0
6008	2017	360000	80000	20.51	998	67.04	0.0	1.0	0.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0
6009	2008	120000	191000	17.92	1086	62.10	1.0	0.0	0.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0
6010	2013	260000	50000	18.90	998	67.10	0.0	1.0	0.0	1.0	1.0	1.0	0.0	1.0	0.0	1.0
6011	2013	320000	110000	18.50	1197	82.85	1.0	0.0	0.0	1.0	1.0	1.0	0.0	0.0	0.0	1.0
6012	2007	135000	119000	16.80	1493	110.00	1.0	0.0	1.0	0.0	1.0	1.0	1.0	0.0	0.0	1.0
6013	2009	382000	120000	19.30	1248	73.90	0.0	1.0	1.0	0.0	1.0	1.0	0.0	0.0	0.0	1.0

Duplicate rows

Most frequently occurring

	year	selling_price	km_driven	mileage	engine	max_power	name_Ford	name_Hyundai	name_Mahindra	name_Maruti	name_Renault	name_Tata	fuel_Diesel	fuel_Petrol	seller_type_Individual	transmission_Manual	owner_Second Owner	seats_5	seats_7	# duplicates
0	2008	200000	163000	17.80	1399	68.00	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	2
1	2010	220000	80000	16.20	1493	110.00	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	0.0	2
2	2012	450000	120000	15.96	2523	62.10	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	1.0	2
3	2015	800000	70000	15.40	1997	120.00	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	1.0	2
4	2016	240000	50000	22.74	796	47.30	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	1.0	0.0	2
5	2016	350000	30000	23.84	1199	84.00	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	1.0	0.0	1.0	0.0	2
6	2016	470000	23700	20.40	1197	81.80	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	1.0	0.0	2
7	2017	300000	30000	23.95	998	67.05	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	1.0	0.0	2
8	2017	300000	35000	23.01	999	67.00	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	0.0	1.0	0.0	2
9	2017	310000	35000	24.70	796	47.30	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	1.0	0.0	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)